AI has become an integral part of how industry and government operate. The landscape is evolving rapidly: more capable frontier models, wider adoption of agentic workflows, and increasingly robust tools and services are changing how organizations work and who can put AI to use. These shifts intensify concerns about safety, the consequences of failure, rising costs, and whether adoption delivers meaningful value.

There is absolutely no doubt that organizations are struggling with AI, its implementation at scale, ability to disrupt workflows meaningfully, establishing effective governance, and assigning clear responsibility for safety, value, and continued evolution. Progress on one front often exposes vulnerabilities on another. Keeping pace demands deliberate investment in organizational capabilities to deliver measurable returns, scale effectively, and operate safely.

The Maturing AI Practices: Achieving Safety, Scale, and Value Together Workshop is an interactive two-day event designed to help leaders navigate the urgent shift from AI adoption focused on point solutions to safe, secure, governed, repeatable enterprise-wide deployment.

With rapidly evolving mandates and market pressures, failing to address these challenges is now an operational, competitive, and security risk. This workshop will provide expert guidance organizations can use to build an AI roadmap for scalable success. Expert speakers from government and industry will share their experiences and lead discussions to move the conversation toward what it truly takes to institutionalize AI.

As AI evolves rapidly and technology priorities shift, disciplined practice is more essential than ever to sustain progress, manage risk, and deliver lasting value. Building capability maturity and aligning AI adoption with organizational goals can help organizations move beyond adoption pressure and token consumption metrics to address critical gaps and implement AI safely and effectively. Attendees will share and learn from successful AI practices for delivering enterprise-scale solutions while managing risk and leave with actionable guidance they can apply immediately.

Workshop Activities

March 16, 2027

Keynote
Shifts & Signals: The State of AI Adoption

Panel
Use of the AI Adoption Maturity Model: Overview and Outcomes from Early Adopters

Hands-on Working Session
Prioritizing a Roadmap to Scale AI Safely with ROI

Roundtable
Safety, Security, AI Risk, and Capability: Perspectives from AI Technology Providers

Reception

March 17, 2027

Discussion
Staying Ahead of AI Evolution: How to Prepare Your Organization for Shifts

• Hands-on Working Session: Workflow Reengineering

Roundtable
Infrastructure, Measurement Costs, Partnerships

Closing Keynote
Governing at the Speed of AI

AI Challenges

The five following questions capture the defining AI challenges organizations face today—questions this workshop is designed to help you answer as you build your own adoption roadmap.

1. How can organizations move beyond AI-washing by replacing vague, "AI everywhere" mindsets with clearly defined strategies and practices that withstand technology and market shifts in AI?
2. How can AI drive enterprise gains with end-to-end workflows that don’t just make isolated use of AI tools, but transform the way organizations work?
3. Can infrastructure costs and resource allocation be accurately measured against actual value added to prioritize AI investment?
4. Once high-value use cases are proven, how can the workforce be adequately equipped, enabled, and upskilled to utilize the necessary AI capabilities?
5. How can an organization manage the security, safety, and trust risks that accompany the deployment of AI platforms using structured, enterprise-level governance?